Enterprise digital workforce, agent platforms, control planes and work-management architecture.
Persistent multi-agent experiments show that a system can recognize and warn about an adversarial event while harmful content continues to execute, persist, and propagate. Closure requires separate proof of detection, containment, eradication, and recovery.
Controlled adversarial evidence shows that a benign full-precision checkpoint can exhibit targeted behavior after selected quantization. Lineage proves origin, not current behavior; deployment admission must bind the exact transformed artifact and its validation.
MIIT's AI Plus Software plan reshapes software production, agent products and ongoing services. It sets out execution frameworks, Skills markets, standards and verifiable behavior, with practical implications for software-company transformation.
Aggregate success compresses duplicate allocation, ordering violations, resource contention, and broken handoffs into one number. Multi-agent reliability should remain a separately evidenced coordination vector whose critical weak dimensions cannot be averaged away.
A completed audit proves that a configured process ended. Coverage assurance additionally requires evidence about the universe, search funnel, known-positive recovery, rejected strata, semantic adjudication, and independent review.
Long-lived sessions need retained state, but retention does not preserve sovereignty. Three recent implementations demonstrate revalidation, authoritative replacement, and control-state isolation while preserving stop and recovery operations after positive work is rejected.
The right to propose a better procedure is not the right to activate it. Self-evolving systems need stable candidate identity, evidence separated from proposal generation, explicit adoption, durable rejection, expiry, and rollback.
TruthInsightBench finds that four agent scaffolds using the same model can produce comparatively auditable and novel work while sharing weak control testing, robustness, and falsifiability. Organizations should preserve two acceptance states: the analysis may be correctly executed, while its conclusion still waits for challenge evidence before becoming organizational authority.
MIIT's Artificial Intelligence SME Entrepreneurship Support Plan (2026–2028) brings computing, data, scenarios, open source, capital, and support services into one framework. China's AI startup ecosystem is moving from policy direction toward organized implementation.
A controlled study reports that role-matched swaps preserve much task outcome while raising communication cost per unit of progress by roughly 16–63%, with coordination efficiency recovering later than task score. Reliable replacement needs separate evidence for role qualification, team fit, state scope, and recovery activation.